AI in healthcare and wearables are buzzy words in the sector, but not all patients are on board with injecting biometric monitoring devices (BMDs) into their daily lives. And that non-acceptance could prove problematic for the future of these devices and other AI-based tools, according to a recent study from French researchers with Université Paris Descartes.
A Berlin-based startup whose mobile health app uses AI to help people manage chronic digestive problems has raised $7 million in Series A funding. The company intends to spend the bulk of the money getting the app in the hands of gastrointestinal patients in the U.S.
Microsoft is launching a regional hub for AI, Internet of Things and data science in Louisville, Kentucky, according to Mayor Greg Fischer, with a focus on collaborating with partners in healthcare and manufacturing.
A year ago, U.S. military researchers presented an algorithm that can tell an individual how much caffeine to consume, and when, to achieve optimal alertness. Now they’ve turned the technique into a freely available tool for “designing effective strategies to maximize alertness while avoiding excessive caffeine consumption.”
Cancer patients undergoing chemotherapy often share word of their adverse reactions to the drugs in online health forums. Researchers at Stanford have used natural language processing to mine these posts, accurately flagging detrimental side effects well before clinical journals advise caution.
Facial recognition technology can be used to monitor sedated patients in intensive care units, alerting healthcare workers when a patient is at risk of accidentally removing a breathing tube or engaging in other risky behavior.
AI continues to wow healthcare watchers with sharp guidance on clinical decisionmaking, accurate aids to risk assessment and bankable workflow efficiencies. But healthcare was, is and always will be about “human-to-human relationships, trust and healing.”